The Last 30%By Railly Hugo
The
Last
30%

AI gets you 70% to production. The last 30% is debugging, security, databases, deployment, and architecture.

That's the part AI can't fake.

A course series by Railly Hugo

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"You shipped with v0 in 3 weeks."

WEEK 2

Performance issues.

Your queries take 30 seconds.

WEEK 4

Security breach.

Hardcoded API keys found.

MONTH 2

You can't debug without Claude.

The code is AI generated, but you don't understand it.

MONTH 3

The wall.

Rewrite or maintain the unmaintainable.

This shouldn't happen.

If you can't debug it without the AI, you don't own it.

Five minutes to demo.
Three months to production.

100 vibe-coded projects will never equal
1 deeply coded, hands-on project.

The format

Not lectures. Not videos you forget. Broken code you fix.

01

11 mini-courses

Each one solves one real wall vibe coders hit. Debugging. Security. Databases. Architecture.

02

Hands-on

Clone a repo with broken AI-generated code. Find the bug. Fix it. Run the tests. Move on.

03

Weekend-sized

2-4 hours each. Completable in one sitting. Self-paced. No cohort. No deadlines.

04

Course #1 free

"Debugging AI-Generated Code" is free for everyone on the waitlist. 14 lessons, 2.5 hours.

Inside course #1

Real bugs. Real fixes. Real understanding.

Every lesson starts with broken AI-generated code. You find the bug, fix it, and run the tests. No lectures.

Lesson 1.1TypeError
> const total = items.reduce(
> (sum, item) => sum + item.price,
> 0);
TypeError: Cannot read properties of undefined
(reading 'price')
Lesson 4.2Edge Case
> function applyDiscount(price, pct) {
> return price - (price * pct / 100);
applyDiscount(100, 10) // 90 ✓
applyDiscount(0, 50) // 0 ✓
applyDiscount(29.99, 110) // -2.999 ???
Lesson 3.1Network
> fetch('/api/checkout', { method: 'POST'})
POST /api/checkout 401
{"error":"Unauthorized"}
// Auth token not sent. But it works in dev...
Lesson 4.3Silent Bug
> setTodos([...editedTodo])
// should be: setTodos(prev => prev.map(...))
Completing a todo deletes all other todos.
// No error. No crash. Just gone.

11 Case Files

The curriculum.

Each course solves one real wall. Start with #1, take them in order, or jump to your biggest pain.

01

Debugging AI-Generated Code

Open
02

Git & Collaboration

Soon
03

How the Web Works

Soon
04

Database Fundamentals

Soon
05

Security for Builders

Soon
06

System Design Basics

Soon
07

Testing & Quality

Soon
08

Deployment & Infrastructure

Soon
09

Performance & Optimization

Soon
10

AI Tools Mastery

Soon
11

Algorithms & Data Structures

Soon

About the author

Hi, I'm Railly.

I'm an AI Software Engineer at Clerk, where I build developer tools, evaluation systems, and CLI infrastructure. Before that, I won the Next.js Global Hackathon 2025.

I founded Crafter Station -- a 490+ member dev community in Peru. I also teach Parallel Computing at UNMSM and build platforms with Midudev, the leading Hispanic tech streamer.

I built this course because I've seen the wall firsthand -- in my community, in hackathons, in production. The gap between "it works in v0" and "it works for real users" is exactly what this series fills.

Case #001 -- Free for early birds

DEBUGGING

AI-Generated Code

14 lessons. 2.5 hours. Clone broken code, fix it, run the tests. The way it should be.

Frequently asked questions.

You need to have shipped something with v0, Lovable, Cursor, or similar. You don't need formal CS education -- that's what this course provides.

Concepts are universal. Exercises use TypeScript and Next.js because that's what most vibe coders ship with. But the debugging mental models work in any language.

2-4 hours. Designed to be completed in a weekend. Self-paced, no deadlines, no cohort dependencies.

Yes. 'Debugging AI-Generated Code' is free for everyone who joins the waitlist before launch. No credit card. No catch.

You might enjoy it as a refresher, but this is designed for people who learned to build with AI tools and want to understand what's under the hood. If you already debug confidently, start with Course #4 (Databases) or #6 (System Design).